Architected as a dedicated neural-network-optimized DSP, the Vision C5 DSP accelerates all neural network computational layers (convolution, fully connected, pooling and normalization), not just the convolution functions. This frees up the main vision/imaging DSP to run image enhancement applications independently while the Vision C5 DSP runs inference tasks.

EETimes writes "The [Cadence Tensilica C5] cores are among as many as 50 silicon products now available to run various forms of computer vision and machine-learning tasks, said Jeff Bier, founder of the Embedded Vision Alliance, chairman of its event this week, and president of consulting firm BDTI. “There are so many [chips], with new ones popping up weekly, that it’s difficult to get a reliable count.”